John J. Treanor
- Epidemiology top 0.2%
- Influenza Virus Research Studies 47
- Respiratory viral infections research 43
- Pneumonia and Respiratory Infections 9
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 17
- Viral Infections and Vectors 7
- SARS-CoV-2 and COVID-19 Research 6
- Microbiology top 0.5%
- Health top 0.5%
- Modeling and Simulation top 1%
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- Animal Virus Infections Studies 13
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- Immune Response and Inflammation 8
- Co-authors
- Sheldon CohenRobert F. BettsFrederick G. HaydenDavid I. BernsteinRobert B. BelsheNelson KinnersleyPenelope WardPaul M. Mendelman
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
John J. Treanor
82 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Epidemiology 6.0k
- Infectious Diseases 2.7k
- Microbiology 593
- Health 789
- Modeling and Simulation 335
Countries citing papers authored by John J. Treanor
This map shows the geographic impact of John J. Treanor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John J. Treanor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Treanor more than expected).
Fields of papers citing papers by John J. Treanor
This network shows the impact of papers produced by John J. Treanor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John J. Treanor. The network helps show where John J. Treanor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John J. Treanor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 20 | |
| 2 | 2014 | 40 | |
| 3 | 2014 | 3 | |
| 4 | 2012 | 102 | |
| 5 | 2012 | 194 | |
| 6 | 2008 | 85 | |
| 7 | 2007 | 29 | |
| 8 | 2006 | 51 | |
| 9 | 2006 | 78 | |
| 10 | 2006 | 90 | |
| 11 | 2005 | 8 | |
| 12 | 2004 | 128 | |
| 13 | 2004 | 22 | |
| 14 | 2002 | 68 | |
| 15 | Efficacy and Safety of the Oral Neuraminidase Inhibitor Oseltamivir in Treating Acute Influenzabreakdown → | 2000 | 781 |
| 16 | 1999 | 28 | |
| 17 | 1996 | 71 | |
| 18 | 1994 | 6 | |
| 19 | 1990 | 4 | |
| 20 | 1989 | 105 |
About John J. Treanor
John J. Treanor is a scholar working on Epidemiology, Infectious Diseases and Animal Science and Zoology, having authored 82 papers that have together received 9.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (47 papers), Respiratory viral infections research (43 papers), Viral gastroenteritis research and epidemiology (17 papers), Animal Virus Infections Studies (13 papers), Pneumonia and Respiratory Infections (9 papers), Immune Response and Inflammation (8 papers), Viral Infections and Vectors (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Epidemiology (6.0k citations), Infectious Diseases (2.7k citations) and Microbiology (593 citations). John J. Treanor has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Sheldon Cohen, Robert F. Betts, Frederick G. Hayden, David I. Bernstein, Robert B. Belshe, Nelson Kinnersley, Penelope Ward, Paul M. Mendelman, Roger Mills and Frederick G. Hayden. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.